In this era of genome-wide association studies (GWAS), the quest for understanding the
genetic architecture of complex diseases is rapidly increasing more than ever before. The …

Finding epistatic interactions among loci when expressing a phenotype is a widely
employed strategy to understand the genetic architecture of complex traits in GWAS. The …

We describe the CoMet application for large-scale epistatic Genome-Wide Association
Studies (eGWAS) and pleiotropy studies. High performance is attained by transforming the …

We describe the experience of converting a CUDA implementation of a high-order epistasis
detection algorithm to SYCL. The goals are for our work to be useful to application and …

In this paper, we aim at discovering genetic factors of psoriasis through searching for
statistically significant SNP-SNP interactions exhaustively from two real psoriasis genome …

Genome-Wide Association Studies (GWASs), analyses that try to find a link between a given
phenotype (such as a disease) and genetic markers, have been growing in popularity in the …

The surge in availability of genomic data holds promise for enabling determination of
genetic causes of observed individual traits, with applications to problems such as discovery …

Genome-wide association studies are performed to correlate a number of diseases and
other physical or even psychological conditions (phenotype) with substitutions of …

The substitution of nucleotides at specific positions in the genome of a population, known as
single-nucleotide polymorphisms (SNPs), has been correlated with a number of important …

Detecting genome-wide SNP-SNP interactions (epistasis) efficiently is essential to
harnessing the vast data now available from modern biobanks. With millions of SNPs and …